Lectures
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Supplements The supplements
come from many different places.
Different people use slightly different notations. For example, some use X-bar for the sample mean; others use M.
This is like listening to someone with an accent who is speaking. A bit odd at first, but with a little
effort, the meaning is clear. The
supplements give you another look at the same thing we do in class and
sometimes a bit of extra information. |
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Powerpoint |
Web |
Video |
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Lecture 1 Intro to Stats and Research |
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Lecture 2 Distributions and Graphs |
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Lecture 3 Central Tendency |
Why does the sum of deviations = 0? |
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Lecture 4 Variability |
Calculate the mean, variance and standard deviation. |
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Lecture 5 z Scores, the Normal Distribution, & Standard Error of the Mean |
The normal: http://faculty.vassar.edu/lowry/ch2pt3.html z-score: http://en.wikipedia.org/wiki/Standard_score standard error of the mean: http://en.wikipedia.org/wiki/Standard_error_(statistics) |
Calculate z scores: http://www.youtube.com/watch?NR=1&feature=endscreen&v=HCrYy1vNtHI standard error of the mean (I love this video): |
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Lecture 6 Correlation Excel file of correlation and regression SPSS file for correlation and regression |
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Lecture 7 Regression |
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Lecture 8 Probability |
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Lecture 9 Significance testing |
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Lecture
10 More Hypothesis Testing |
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Lecture
11 One-sample t Excel file of cigarette example (one-sample t) SPSS file
of cigarette example Lecture 11b More (optional information) on Confidence Intervals |
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Lecture
12 Independent (2-sample) t Excel file of empathy example (2-sample t) SPSS file of empathy example |
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Lecture 13 Dependent t Excel file of painfree example (dependent t) SPSS file of painfree example |
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Lecture 14 One-Way ANOVA
Excel file for one-way ANOVA SPSS file for one-way ANOVA (with Tukey post-hoc test) |
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Lecture 15 Two-Way ANOVA SPSS file for two-way ANOVA for driving data |
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Lecture 16 Chi-square |
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